Which security practice matters most for regulated sector AI?
Most answers emphasize governance and oversight as foundational, though some focus on practical steps like inventorying AI use, protecting personal data, or implementing workflow-level controls.
5 answers
Answers


Danny Manimbo
Managing Principal · Schellman
Management Oversight
Danny Manimbo says management oversight is the one he can't underscore: if AI governance sits solely with a compliance manager, programs die, because they need ownership upward and laterally across business units.
The answer starts at 21:05.
CyberWire Daily · Listen on Apple Podcasts

Brennan Baybeck
SVP & CISO - Customer Success Services · Oracle
Strong Governance
Brennan Baybeck says that to him it comes back to strong governance, calling it essential.
SiliconANGLE theCUBE · Watch on YouTube

Mandy Andress
CISO · Elastic
Inventory AI Usage
Mandy Andress says the first priority is to inventory AI usage within the organization, since without knowing where it's used and for what objectives, it's much harder to put controls and structure around it.
The answer starts at 15:01.
The Control Layer with Amer Altaf · Listen on Apple Podcasts

Julian Tang
COO for Innovation Office · BlackRock
Protect Personal Data
Julian Tang says protect personal data: regulated sectors already apply the same effort and requirements to PII that they need to ensure AI protects personal information with the right controls.
The AI in Business Podcast · The AI in Business Podcast · Listen at 14:23

Shahir Daya
Chief Product & Technology Officer · Zafin
Workflow-Level Controls
Shahir Daya says the first move is to define controls at the workflow level, not the agent level, because agent-level controls will not scale: one agent can span many workflows and one workflow can use many agents.
The AI in Business Podcast · The AI in Business Podcast · Listen at 21:40
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